Microbial Community Diversity and Vertical Distribution in a Columnar Sediment of Maluku Strait

The sediment samples were collected from Maluku Strait at a depth of 1250 m, which is influenced by Mindanao Current and Indonesian Throughflow. Based on 16S rRNA clone libraries, the community structure and vertical distribution of archaea and bacteria were studied in a columnar sediment of 2m in length. From the surface sediment, 16S sequences were derived from fourteen bacterial phyla (Gammaproteobacteria, Planctomycetes, Alphaproteobacteria, Deltproteobacteria were dominant), but were limited to two groups of archaea: Crenarchaeota (99%) and Euryarchaeota (1%). Besides, 90% of the archaea clones were ammonia oxidation-related which indicated that the ammonia-oxidizing archaea might make a significant contribution to the chemosynthesis in the surface sediment. Contrastively in the bottom sediment, six bacterial phylogenetic groups were obtained (Gammaproteobacteria and Firmicutes were absolutely dominant), however no archaea 16S rRNA was detected. The microbial diversity of surface sediment was much higher than the bottom and seven unique bacterial phyla were obtained from two sediment respectively. The geochemical elements analysis revealed that the content of C, TOC and S in the surface sediment was much higher than the bottom, but the content of P is contrary. The microbial communities might be in response to the geochemical substance transfer and deposit influenced by the ocean current and it deserves further study compared with the other sediment samples in this area.

Development of a component-based interactive visualization system for the analysis of ocean data

With the continuous development of various types of fixed marine observation equipment,satellite remote sensing technology and computer simulation technology,modern marine scientific research has entered the era of big data.Interactive ocean visuali-zation has become ubiquitous owing to the use of ocean data in studies of marine disasters,global climate change and fisheries.However,the primary challenge in analyzing large amounts of ocean data originates from the complexity of the data themselves.Therefore,an interactive multi-scale,multivariate visualization sys-tem with dynamic expansion potential is needed for analyzing larger volumes of ocean data.In this study,a unified visual data service was constructed,and a component-based interactive visua-lization structure for multi-dimensional,spatiotemporal ocean data is presented in this paper.Based on this structure,users can easily customize the system to visualize other types of scientific data.

miR-27b inhibits gastric cancer metastasis by targeting NR2F2

Increasing attention is focused on the down-regulation of miRNAs in cancer process. Nuclear receptor subfamily 2 （NR2F2, also known as COUP-TFU） is involved in the development of many types of cancers, but its role in gastric cancer remains elusive. In this experiment, oncomine and Kaplan-meier database revealed that NR2F2 was up-regulated in gastric cancer and that the high NR2F2 expression contributed to poor survival. MicroRNA-2Tb was targeted and down-regulated by NR2F2 in human gastric cancer tissues and cells. The ectopic expression of miR-27b inhibited gastric cancer cell proliferation and tumor growth in vitro and in vivo. Assays suggested that the overexpression of miR-27b could promote MGC-803 cells＇ migration and invasion and retard their metastasis to the liver. In addition, down-regulation of miR-27b enhanced GES-1 cells＇ proliferation and metastasis in vitro. These findings reveal that miR-27b is a tumor suppressor in gastric cancer and a biomarker for improving patients＇ survival.

Developing big ocean system in support of Sustainable Development Goals:challenges and countermeasures

The ocean is a critical part of the global ecosystem.The marine ecosystem balance is crucial for human survival and sustainable development.However,due to the impacts of global climate change and human activities,the ocean is rapidly changing,which poses an enormous threat to human health and the econ-omy.“Conserve and sustainably use the oceans,seas and marine resources”is one of the 17 Sustainable Development Goals(SDGs).Therefore,it is urgent to construct a transformative marine scientific solution to promote sustainable development.Marine data is the basis of ocean cognition and governance.Marine science has ush-ered in the era of big data with continuous advances in modern marine data acquisition.While big data provides a large amount of data for SDG research,it simultaneously brings unprecedented challenges.This study introduces an overall framework of a system for solving the current problems faced by marine data serving SDGs from the perspective of marine data management and application.Also,it articulates how the system helps the SDGs through two application cases of managing fragmented marine data and developing global climate change data products.